Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T187235B726732B4A843DB91EEE7382D56B2C2988DF8C74454F5C95ACD23C3C812297BB4 |
|
CONTENT
ssdeep
|
768:aZVGh+EsZx8/G8y4rDaw+MDBtwtMDB2qN2/y9dGDUDF1E56ITmH+LXPnTyPqDvlP:ag+EsZ/8FrDaw+MDBtwtMDBvN2/y9dGV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf3f3fc0c0d06622 |
|
VISUAL
aHash
|
010081ffffffffff |
|
VISUAL
dHash
|
7b717d353727313b |
|
VISUAL
wHash
|
000000ffc3ffffc3 |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
7b717d353727313b,ffdff3f3e9f1f7ff |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 19 techniques to evade detection by security scanners and make reverse engineering more difficult.